Preoperative prediction of postoperative morbidity in coronary artery bypass grafting

The risk factors of patients selected for coronary artery bypass grafting have increased in recent years because of the aging population. Prediction of postoperative complications is essential for optimal use of the available resources. The aim of this study was to develop a scoring method for predi...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	The Annals of thoracic surgery 1996-06, Vol.61 (6), p.1740-1745
Hauptverfasser:	Kurki, Tuula S.O., Kataja, Matti
Format:	Artikel
Sprache:	eng
Schlagworte:	Age Factors Aged Aging Arrhythmias, Cardiac - epidemiology Bayes Theorem Biological and medical sciences Cardiac Output, Low - epidemiology Cerebrovascular Disorders - epidemiology Coronary Artery Bypass - adverse effects Coronary Artery Bypass - statistics & numerical data Diabetes Mellitus - epidemiology Electrocardiography Emergencies Female Finland - epidemiology Forecasting Humans Length of Stay - statistics & numerical data Lung Diseases, Obstructive - epidemiology Male Medical sciences Myocardial Infarction - epidemiology Obesity - epidemiology Postoperative Complications - epidemiology Renal Insufficiency - epidemiology Retrospective Studies Risk Factors Sensitivity and Specificity Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases Surgery of the heart
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!